Cost and Performance Enhance Research Efforts
Lithium batteries have become a popular power source for consumer electronic devices. Lithium batteries offer several advantages over other types of secondary batteries, including lighter weight and higher energy density. They’re ideal for portable electronic devices such as notebook computers, and offer a great advantage to consumers in the emerging hybrid electric vehicle industry.
As battery developers work to create larger lithium-ion batteries, they are faced with three main challenges: safety, cost, and calendar life. Argonne National Laboratory’s Material Science Division set out to create better lithium batteries, but needed to harness the power of a large cluster to make it happen.
Advanced Clustering Technologies worked with Argonne to design a high-performance computing system with the horse power they needed to further develop their lithium products at a price they could afford. The result — a 46-node Intel-based Apex cluster.
Following their cluster installation, Argonne was able to take its studies to the next level. The high-performance computing cluster is now providing Argonne with new insight into the energetics, dynamics and structure of new materials at the molecular level. State-of-the-art quantum chemical methods are being developed for accurate energy calculations that have applications in modeling chemical vapor dispositions reactions, combustion reactions, catalysis mechanisms, and atmospheric chemistry. These and other methods are being applied to the investigations of new materials such as nanocrystalline diamond, polymer electrolytes for use in lithium batteries, diblock copolymers, and near frictionless carbon films. Studies are also being carried out on surface reactions, including reaction mechanisms of diamond-thin film growth, catalytic reaction mechanisms in zeolites, and electrode/electrolyte interfaces important in corrosion.
- Case Study: Caltech Implements New ClusterVisor 1.0 to More Effectively Manage HPC Cluster and Workloads
- Case Study: UTFR Uses ACTnowHPC to Run CFD Simulations to Optimize Bodywork for Formula SAE Car Design
- Covid-19 Research That Matters: [email protected] Leverages Advanced Clustering and AMD EPYC CPUs
- Romeo Power Running Simulations on ACTnowHPC to Drive Battery Innovations
- Advanced Clustering’s Storage Blocks with BeeGFS Support Large Scale BioPharmaceutical Research at AbbVie
- Case Study: UTFR Runs CFD Simulations in the Cloud to Optimize Formula SAE Car Design
- Case Study: Weather Forecasting in the Cloud
- Building an HPC Solution with Flexibility to Meet Future Needs
- Cost and Performance Enhance Research Efforts
- Closing the Gap On Memory Performance For Development Of Genetic Data Analysis Software
Request a Consultation from our team of HPC and AI Experts
Would you like to speak to one of our HPC or AI experts? We are here to help you. Submit your details, and we'll be in touch shortly.